Metadata-Version: 2.1
Name: libemg
Version: 0.0.3
Summary: LibEMG - Myoelectric Control Library
Home-page: UNKNOWN
Author: Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman, and Erik Scheme
License: UNKNOWN
Description: 
        ![LibEMG](docs/source/libemg_logo.png)
        
        The goal of this library is to provide an easy to use and feature-rich API for developing robust real-time EMG-based interactions, and performing thorough offline analysis.
        
        **Authors**: Ethan Eddy, Evan Campbell, Angkoon Phinyomark, Scott Bateman, and Erik Scheme
        
        ## Documentation
        All documentation can be found at: [Library Documentation](https://libemg.github.io/libemg/)
        
        ## Install 
        `pip install libemg`
        
        ## Questions
        Check out our discord server if you have questions, comments, or feature requests: https://discord.gg/NeqTTXmM4F
        
        ## Citing
        We ask that if you leverage this library for any research-related purposes please cite the following publication:
        
        ```
        @ARTICLE{10214558,
          author={Eddy, Ethan and Campbell, Evan and Phinyomark, Angkoon and Bateman, Scott and Scheme, Erik},
          journal={IEEE Access}, 
          title={LibEMG: An Open Source Library to Facilitate the Exploration of Myoelectric Control}, 
          year={2023},
          volume={11},
          number={},
          pages={87380-87397},
          doi={10.1109/ACCESS.2023.3304544}}
        ```
        
Keywords: emg,myoelectric_control,pattern_recognition,muscle-based input
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable  
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
